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Smart Vision - Enterprise-level Agent Middle Platform
Smart Vision is an AI-native platform that integrates GenAI into enterprises by combining computing power, models, knowledge, and applications. It streamlines the four key stages of GenAI engineering: selection, training, usage, and management, offering a comprehensive suite for digital transformation. With modules for model and computing power management, enterprise private knowledge management, and AI application engineering, Smart Vision provides advanced, enterprise-ready large models, optimizing computing power, integrated scheduling, and efficient training.
Flexible &Ready-to-Use Application Building
Smart Vision supports no-code, low-code, and full-code configurations across five development modes, seamlessly integrating with corporate systems and offering pre-built templates for efficient application development.
Unified Management of Heterogeneous Computing Power &Optimized Model Performance
Smart Vision supports unified management of diverse CPU and GPU resources across different environments, addressing large model computing bottlenecks and optimizing GPU usage based on model and chip types.
One-Click Access to Mainstream Models &Efficient Private Model Fine-Tuning
Smart Vision offers over 40 foundational models for flexible business applications. It includes a comprehensive toolset for private model fine-tuning, enabling businesses to customize high-accuracy models.
Multimodal,Multilevel Knowledge Management for Data Asset Activation
Smart Vision integrates various data formats—text, images, video—with access controls to ensure data security, creating an enterprise-grade private knowledge base.
Flexible &Ready-to-Use Application Building
Smart Vision supports no-code, low-code, and full-code configurations across five development modes, seamlessly integrating with corporate systems and offering pre-built templates for efficient application development.
Unified Management of Heterogeneous Computing Power &Optimized Model Performance
Smart Vision supports unified management of diverse CPU and GPU resources across different environments, addressing large model computing bottlenecks and optimizing GPU usage based on model and chip types.
 
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